Tell us what's slowing you down. We'll show you where to start.

Why it fits

You don't need more theory. You need to know which workflow will return the most, whether your data can support it, and what it will cost to build.

What comes next

Most clients move into a Smart Scale Pilot on the top-ranked workflow. If the case is already clear, they go straight to a SmartOps Increment.

What you walk away with

• A data-readiness scan of your core database using eSapiens ThunderScan, covering schema quality, data integrity, and security gaps
• Severity-rated findings and a prioritized roadmap with one measurable KPI per initiative
• A costed build recommendation, walked through with your technical and business stakeholders

Why it fits

When AI touches several systems and teams, a list of ideas isn't enough. You need a clear view of what to build, what to fix first, and a business case your CFO can approve.

What comes next

A Smart Scale Pilot, SmartOps Increments, or AI-Enabled Legacy Modernization, depending on what the architecture review shows.

What you walk away with

• Everything in the Rapid AI Diagnostic, applied across every system in scope
• An architecture review with a clear recommendation: build, rebuild, or extend
• A phased investment path and an ROI model your sponsor can take to finance

Why it fits

When teams adopt AI tools on their own, you carry risk you can't see. We audit the AI systems in use against recognized security frameworks, show you what's exposed, and rank what to fix first.

What comes next

We can deliver the remediation (priced separately) and run a re-verification pass once fixes ship. AI Run & Optimize or a Fractional AI Technical Advisory Retainer keeps it governed from there.

What you walk away with

• Audit findings assessed against the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, and the NIST AI RMF as applicable, extended to the data layer with eSapiens ThunderScan where AI depends on structured data
• A remediation roadmap ranked by severity, exploitability, and effort to fix
• A lightweight governance gate your team keeps using after we're done

Why it fits

Promises won't win over a skeptic. A working workflow with measured results will. We agree on a baseline up front, put one workflow into production, and let the numbers make the case.

What comes next

Scale what works through SmartOps Increments, with AI Run & Optimize keeping it accurate after launch.

What you walk away with

• Working software in production, not a demo
• Before-and-after results measured against the baseline you agreed to
• An evaluation suite that tests the system against known-correct cases

Why it fits

You've done the thinking. Now you need production software on a predictable rhythm, with a fixed price per release and no open-ended hourly billing. Scope can flex inside a release; the price doesn't.

What comes next

AI Run & Optimize to keep what we build accurate and cost-controlled.

What you walk away with

• Working software in production every four weeks
• A fixed price per release, with any change priced before work begins, never after
• An evaluation suite, documentation, and a clean handover

Why it fits

Replacing a core system all at once is where projects go sideways. We evaluate your existing database design with eSapiens ThunderScan up front, so schema and integrity problems surface before migration instead of in the middle of it. Then we lay out a phased path so the business keeps running while you modernize.

What comes next

AI-Enabled Legacy Modernization, where AI speeds up migration analysis, test generation, and rebuilding missing documentation. It's paid monthly over the life of the project.

What you walk away with

• An automated evaluation of your current database design, with severity-rated findings
• An architecture recommendation on what to keep, rebuild, or extend
• A phased modernization path and an ROI model for finance

Why it fits

Rekeying and reconciliation are a systems problem, not a people problem. Your systems stay in place. We find where information breaks down between them and plan the connections that pay back fastest.

What comes next

Integration phases of 6 to 8 weeks each (most engagements run one to three). They deliver single-point entry and one connected view of your operations, with Support & Maintenance after launch.

What you walk away with

• A systems inventory, with an API and access review for each system
• A data map showing how information should flow, plus an eSapiens ThunderScan data quality scan where databases are in scope
• A phased integration plan

Why it fits

Dashboards are only as good as the data underneath them. We settle what revenue, margin, and headcount mean first, then build reporting on a foundation that holds up. The same foundation makes your data ready for AI.

What comes next

Build phases of 6 to 8 weeks each, with automated quality checks that flag problems before they reach a report.

What you walk away with

• A source data inventory and data quality findings, including an eSapiens ThunderScan scan where databases are in scope
• The leadership questions and KPIs your reporting has to answer
• A phased build plan for a governed data foundation, leadership dashboards, and conversational analytics where it fits

Why it fits

Larger builds with deep integrations need planning before code. Discovery gives you a scope, roadmap, and architecture that you keep whether or not you continue with us.

What comes next

A full product, engineering, QA, and design team shipping in two-week sprints, with a first release typically within three months. Support & Maintenance begins when the team rolls off.

What you walk away with

• A product strategy tied to business outcomes, with a prioritized roadmap and a milestone and release plan
• User journeys, wireframes, and technical architecture
• A risk and dependency map, so surprises show up now instead of mid-build

Why it fits

A senior-led pod works inside your team, installs AI-accelerated delivery practices, and then deliberately hands over ownership. The goal is capability you keep, not staff you rent.

What comes next

Many teams keep a Fractional AI Technical Advisory Retainer after the handoff so a senior eye stays on the work.

What you walk away with

• Senior AI analysts and technicians working alongside your people
• Governance gates and structured review practices your team adopts
• Capability and ownership transferred to your team

Why it fits

You don't need an outside team. You need experienced review that catches problems before they ship and keeps your architecture on track.

What comes next

The retainer runs alongside your own roadmap. If review surfaces a larger opportunity, we scope it separately.

What you walk away with

• Recurring senior review of your team's work and your AI tools' output
• Architecture guardrails your team builds within
• A quarterly AI-readiness review

Why it fits

AI isn't set-and-forget. Models drift, costs creep, and workflows change. We test, monitor, and tune your system so it keeps delivering, whether or not we built it.

What comes next

Didn't build it with us? We start with a knowledge-transfer and onboarding period, then take over. For traditional software, Support & Maintenance at $5,500–8,500 per month covers security, uptime, and fixes.

What you walk away with

• Scheduled evaluation runs against known-correct cases
• Drift monitoring for accuracy, cost, and exception rates
• Model upgrades, re-testing, and token and infrastructure cost management (Enterprise adds a response SLA, multi-system coverage, and quarterly business reviews)